ray-cluster-installer
CommunitySet up and validate GPU Ray clusters.
Authoryangwhale
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the end-to-end deployment of Ray distributed clusters on NVIDIA GPUs, enabling teams to install, configure, and validate multi-node environments with minimal friction.
Core Features & Use Cases
- Multi-node Ray cluster installation and configuration across GPUs.
- GPU resource detection and cluster validation tests.
- SGLang PD (Prefill-Decode) disaggregation deployment integration.
- Use case: Set up a cluster (2-8 GPUs) and run a quick distributed task to verify correctness.
Quick Start
- Start the head node: ray start --head --port 6379 --dashboard-host 0.0.0.0
- Join workers: ray start --address="<HEAD_IP>:6379" --node-ip-address="<WORKER_IP>" --num-cpus=8 --num-gpus=8
- Validate the cluster: ray status; ray.nodes(); run a simple remote task to verify distribution.
Dependency Matrix
Required Modules
ray
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ray-cluster-installer Download link: https://github.com/yangwhale/gpu-tpu-pedia/archive/main.zip#ray-cluster-installer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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